Department of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan.
Information Technology Center, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan.
Sensors (Basel). 2020 Jul 20;20(14):4035. doi: 10.3390/s20144035.
LEDs are widely employed as traffic lights. Because most LED traffic lights are driven by alternative power, they blink at high frequencies, even at twice their frequencies. We propose a method to detect a traffic light from images captured by a high-speed camera that can recognize a blinking traffic light. This technique is robust under various illuminations because it can detect traffic lights by extracting information from the blinking pixels at a specific frequency. The method is composed of six modules, which includes a band-pass filter and a Kalman filter. All the modules run simultaneously to achieve real-time processing and can run at 500 fps for images with a resolution of 800 × 600. This technique was verified on an original dataset captured by a high-speed camera under different illumination conditions such as a sunset or night scene. The recall and accuracy justify the generalization of the proposed detection system. In particular, it can detect traffic lights with a different appearance without tuning parameters and without datasets having to be learned.
LED 被广泛应用于交通信号灯。由于大多数 LED 交通信号灯由备用电源驱动，因此它们以高频闪烁，甚至达到其频率的两倍。我们提出了一种从高速摄像机拍摄的图像中检测交通信号灯的方法，该方法可以识别闪烁的交通信号灯。由于该技术可以通过从特定频率的闪烁像素中提取信息来检测交通信号灯，因此在各种光照条件下都具有鲁棒性。该方法由六个模块组成，包括带通滤波器和卡尔曼滤波器。所有模块同时运行，以实现实时处理，并且可以以 500 fps 的速度运行，分辨率为 800×600。该技术在不同光照条件下（如日落或夜景）由高速摄像机拍摄的原始数据集上进行了验证。召回率和准确率证明了所提出的检测系统具有通用性。特别是，它可以检测具有不同外观的交通信号灯，而无需调整参数，也无需学习数据集。
